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A Localization Method Avoiding Flip Ambiguities for Micro-UAVs with Bounded Distance Measurement Errors

机译:具有有限距离测量误差的微型无人机避免翻转歧义的定位方法

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Localization is a fundamental function in cooperative control of micro unmanned aerial vehicles (UAVs), but is easily affected by flip ambiguities because of measurement errors and flying motions. This study proposes a localization method that can avoid the occurrence of flip ambiguities in bounded distance measurement errors and constrained flying motions; to demonstrate its efficacy, the method is implemented on bilateration and trilateration. For bilateration, an improved bi-boundary model based on the unit disk graph model is created to compensate for the shortage of distance constraints, and two boundaries are estimated as the communication range constraint. The characteristic of the intersections of the communication range and distance constraints is studied to present a unique localization criterion which can avoid the occurrence of flip ambiguities. Similarly, for trilateration, another unique localization criterion for avoiding flip ambiguities is proposed according to the characteristic of the intersections of three distance constraints. The theoretical proof shows that these proposed criteria are correct. A localization algorithm is constructed based on these two criteria. The algorithm is validated using simulations for different scenarios and parameters, and the proposed method is shown to provide excellent localization performance in terms of average estimated error. Our code can be found at: https://github.com/ OingbeiGuo/AFALA.git.
机译:定位是微型无人机(UAV)协同控制的基本功能,但由于测量误差和飞行运动,很容易受到翻转歧义的影响。这项研究提出了一种定位方法,该方法可以避免在有界距离测量误差和受约束的飞行运动中发生翻转模糊。为了证明其功效,该方法在双侧和三侧进行。为了进行双边处理,基于单元盘图模型创建了一种改进的双向模型,以弥补距离约束的不足,并估计了两个边界作为通信范围约束。研究了通信距离和距离约束的交点的特性,提出了一种独特的定位标准,可以避免出现翻转歧义。类似地,对于三边测量,根据三个距离约束的交点的特征,提出了另一种避免翻转模糊的独特定位准则。理论证明表明这些建议标准是正确的。基于这两个标准构造了定位算法。通过对不同场景和参数的仿真验证了该算法的有效性,并表明该方法在平均估计误差方面具有出色的定位性能。我们的代码可以在以下网址找到:https://github.com/ OingbeiGuo / AFALA.git。

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